We used a fcn similar to [1]} and to [2]}, composed of 5 convolution layers with kernel \(4\times 4\)  and stride of 2. The number of channels are {64, 128, 256, 512, 1}, respectively. Each convolution layer is followed by a leaky ReLU having a parameter equals to 0.2.
